Getting To These Slides
Our web site: https://thomaselove.github.io/431-2024/
Visit the Course Calendar at the top of the page, which will take you to the Class 01 README page.
- These Slides for Class 01 are linked at the Class 01 README.
- We’ll look at the HTML slides during class.
- There is also a Word version available.
- We also provide the Quarto code I used to build the slides.
This is PQHS / CRSP / MPHP 431
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Correlation
First Activity
First Thing
Write down your guess of Dr. Love’s age in years in the appropriate spot on the convenient piece of paper we’ve provided. Hang on to the paper, as you’ll need it again later.
Here’s a picture, in case that’s helpful.
Course Details
Instructor: Thomas E. Love, Ph.D.
Email: Thomas dot Love at case dot edu
- (best way to reach me, although you won’t use it much)
Our web site: https://thomaselove.github.io/431-2024/
- The Contact Us page on our web site provides details on how to get help.
- If you’ve spent 15 minutes working on something and are stuck, don’t keep working on it. ASK FOR HELP.
- Course Syllabus
- Course Calendar, which is the final word for all deadlines, and also links to each day’s class page.
- Course Notes (essentially a textbook)
- Software Details (R and R Studio, installation, data and code downloads)
- Assignments: 7 Labs (plus Lab 0), 2 Quizzes, 2 Projects and 8 Minute Papers
Teaching Assistants (Fall 2024)
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- TA Office Hours will begin Tuesday 2024-09-03.
Structure of the 431 Course
- Exploratory Data Analysis, Visualization
- Statistical Inference, Making Comparisons
- Linear Regression and related Models
Course Philosophy (in one slide)
The course is about biostatistics, replicable research, using state-of-the-art tools (R, R Studio, Quarto), and thinking about how science is most effectively done.
- It is more a course in how to do things (highly applied) rather than a theoretical/mathematical justification for why we do them. We focus here on practical work.
- It’s mostly about getting you doing data science projects for biological, medical and health applications.
More on all of this in the Course Syllabus, of course.
What will we be reading?
Our Main Website
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The link to this page is at the bottom of every slide.
Keeping Caught Up
- If you have to miss a class, catch up before the next one.
- We’ll try to record the classes using Zoom and then make them available afterwards.
- You’ll find the recordings on Canvas in the Zoom section.
- We prefer you not to join the Zoom live, but rather watch the recording when it is posted (usually the same day.)
- Our assignments have deadlines, which are posted to the Calendar, and which we expect you to meet.
Attendance Policies
- We expect you to attend 23 of the 26 classes in person.
- Don’t come if you are sick, please. Watch the recording instead.
- If you’re getting over an illness, but are well enough to attend class, please mask up.
- If you will need to miss more than two classes in a row, or if you cannot keep up with assignments, that’s when Dr. Love needs to hear with you.
Great Statisticians in History
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John Tukey (1915-2000)1
Things To Do After Class 01
- Review the main course website, being sure to visit the Course Calendar.
- Read through the Course Syllabus.
- Obtain David Spiegelhalter’s The Art of Statistics: How to Learn from Data (~$20) and read the Introduction and Chapter 1.
- Complete the Welcome to 431 survey (due tomorrow at noon.) Thanks if you’ve already done this.
- Install the software you’ll need.
- Sign up for the Campuswire discussion forum, and ask a question or leave a comment.
- Look at the Course Book, especially Chapters 1-3.
- Bookmark the suggestions from today’s README.
- Take a look at Lab 01 (due 2024-09-11 at noon) which is your first substantial deliverable, as well as the instructions for Project A.
See the Class 01 README for more details.
We’ll be guessing some ages
- I will display a series of 10 photographs, each of a person.
- For each photo your group will …
- estimate the age of the person in the photo (in years)
- have the recorder type your (group) guess into the form (so if you guess age 35, you will just type 35.)
- When you’ve produced guesses for each of the 10 photos, submit the form. The recorder will get an email confirmation.
- Later, we’ll reveal the true ages and compute errors.
Here come the photos
- We’ll give you a little more time for the first two photos than the other eight.
Remember to have the recorder fill out the form at https://bit.ly/431-2024-class01-breakout although it may help all of you to keep track on paper, as well.
Photo 1
Photo 2
Making Progress
- Your group’s guess for each photo should be in the form at https://bit.ly/431-2024-class01-breakout.
- You might also want to keep track on your convenient piece of paper, so that when I tell you the ages later, you’ll be in a position to see how your group did.
- In spare time between photos, please make the effort to learn something about each of the other people in your group beyond their name: perhaps what field they are in, or where they come from.
Photo 3
Photo 4
Photo 5
Photo 6
Photo 7
Photo 8
Photo 9
Photo 10
Now, guess My Age again
- You should have an initial guess of my age written down from the start of the session.
- Now, make a second guess of my age based on what you know about me now, and write that down next to the initial guess.
So if you guessed 18 initially, but now think I’m 19, you should write 18/19. If you still think I’m 18, write 18/18. Make it easy for us to understand your guesses of my age on the convenient piece of paper. Don’t guess my age as a group - just write down your own guess.
Age Guessing Robots?
Artificial intelligence has produced multiple tools to guess someone’s age from their image.
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Do you think you did that well?